Computational and Data Grids: Principles, Applications and by Nikolaos Preve

By Nikolaos Preve

Grid computing delivers to remodel the way in which agencies and participants compute, converse, and collaborate.

Computational and information Grids: rules, purposes and layout bargains serious views on theoretical frameworks, methodologies, implementations, and leading edge examine in grid computing, bridging the space among academia and the newest achievements of the pc undefined. worthwhile for pros and scholars concerned or drawn to the research, use, layout, and improvement of grid computing, this ebook highlights either the fundamentals of the sphere and extensive analyses of grid networks.

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Extra resources for Computational and Data Grids: Principles, Applications and Design

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Some agents may require experts in information technology (IT) to perform the deployment and configuration of the agent on resources, limiting the scalability of the system in environments such as the Internet. On the other hand, there exist general public oriented DGVCSs, which don’t need any IT knowledge to configure a resource to be part of them. We identify three categories: DGVCSs needing IT staff, DGVCS requiring some IT knowledge, and DGVCS for conventional users. Resource usage model. Taking into account the form as it is planned and achieved the resource clustering, DGVCSs can be classified into permanent and controlled DGVCSs.

2004). BOINC: A system for public-resource computing and storage. Proceedings of the Fifth IEEE/ACM International Workshop on Grid Computing, 4-10. , & Werthimer, D. (2002). SETI@home: An experiment in public-resource computing. Communications of the ACM, 45(11), 56–61.. , & Fedak, G. (2006). The computational and storage potential of volunteer computing. Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid, 73-80. , & Walton, R. (2005). High-performance task distribution for volunteer computing.

UnaGrid - On demand opportunistic desktop grid. Proceeding of the 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 661-666. , & Costa, F. (2009). MPI support on opportunistic grids based on the InteGrade middleware. Concurrency and Computation, 22(3), 343–357. , & Emmerich, W. (2004). Condor services for the Global Grid: Interoperability between Condor and OGSA. Proceedings of the UK e-Science All Hands Meeting 2004. org. , & Medeiros, R. (2003). Grid computing for Bag-of-Tasks applications.

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